Our Mission

is to lower the cost of operating mechanical equipment through the digitalization of assets, providing digital twins to an ecosystem of operators and suppliers to achieve life extension, sustainability and reliability.

Sentient Science

Industry leader in advanced prognostic solutions

Expertise in tribology, physics and data science

Award winning solutions in Additive Manufacturing, Aerospace & Defense, Automotive and Wind

DigitalClone and Industrial SaaS Powered by Physics and Data Science

Our applications are built off our platform which uses physics and data science based prognostics to reduce the operational costs of fielded assets by improving sustainability and reliability.

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Our Industry Solutions

Our SaaS Platform Solves Business Problems with Science

DigitalClone technology is transferable to any industrial or transportation application as it is rooted in simulating the failure process (lifecycle) over the lifetime of the asset under its unique operating conditions. By understanding how failure initiates and propagates in the asset, prescriptive life extension actions can be taken to mitigate risk of unplanned failure events.

Aerospace
Industry

Aerospace

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Automotive
Industry

Automotive

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Wind Energy
Industry

Wind Energy

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Company History

Over 20 Years of Research and Development

Since 2001, Sentient Science has been devoted to extending remaining useful life of fielded assets and optimizing new product design and testing. It is this mission that has led to over 20 years of research and$22 million of competitive research and development funding for research and to validate our DigitalClone technology.

Awards

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Year Award by Agency Phase Program Topic Code Award Title
2022 Department of Energy Phase I SBIR 14A An Integrated Software Package for Studying Structure-Property-Processing Relationships in Material Systems
           
2022 Department of Defense Phase III SBIR N/A Sentient Science DigitalClone Demo for EDGE 22
           
2021 Department of Defense Phase II SBIR A19-140  Rolling/Sliding Contact Fatigue Life Physics and Modeling
           
2020 Department of Defense Phase I SBIR A19-140 Rolling/Sliding Contact Fatigue Life Physics and Modeling
           
2020 NASA Phase II STTR T12 A Multiscale Modeling Suite for Process and Microstructure Prediction in Metal Additive Manufacturing
           
2019 Department of Defense Phase II SBIR A17-003 Development of In-Process Monitoring Closed-Loop Feedback for Use in Aluminum Alloy Additive Manufacturing (AM) Applications
           
2018 NASA Phase I STTR T12 A Multiscale Modeling Suite for Process and Microstructure Prediction in Metal Additive Manufacturing
           
2018 Department of Defense Phase I STTR N18A-T005 Innovative Processing Techniques for Additive Manufacture of 7000 Series Aluminum Alloy Components
           
2017 Department of Defense Phase II SBIR N152-109 Reliability Centered Additive Manufacturing Design Framework
           
2017 Department of Defense Phase I SBIR A17-003 Development of In-Process Monitoring Closed-Loop Feedback for Use in Aluminum Alloy Additive Manufacturing (AM) Applications
           
2017 Department of Defense Phase II SBIR DLA-152-001 Advanced Manufacturing Technologies
           
2016 Department of Energy Phase II SBIR 9.01.06.73-R Predictive Modeling Tools for Metal-Based Additive Manufacturing
           
2016 Department of Defense Phase I SBIR N152-109 Reliability Centered Additive Manufacturing Design Framework
           
2015 Department of Defense Phase I SBIR DLA-152-001 Advanced Manufacturing Technologies
           
2015 Department of Energy Phase I SBIR 9.01.06.73-R Apply Modelica Language to Multi-physics Applications on HPC and Cloud Platforms
           
2015 Department of Energy Phase I SBIR 9.01.06.73-R Predictive Modeling Tools for Metal-Based Additive Manufacturing
           
2014 Department of Defense Phase I STTR N14A-T019 Bioelectronic Fusion Sensor System
           
2014 Department of Defense Phase I SBIR AF141-075 Improved Design Package for Fracture Mechanics Analysis
           
2013 National Science Foundation Phase II SBIR NM-1330900 SBIR Phase II: Analytical Modeling and Performance Prediction of Remanufactured Gearbox Components
           
2013 Department of Defense Phase II STTR N11A-T007 Modeling to Quantify Improved Durability of Superfinish Gear Processing
           
2012 Department of Defense Phase I SBIR A12-076 Advanced Seal Technology for Helicopter Drive System Application
           
2012 Department of Defense Phase I SBIR A12-098 Multi-functional Integrated Drive System Sensor(MIDSS) for Rotorcraft
           
2012 Department of Defense Phase I SBIR A12-022 Surface Engineering Technologies for Improved Gear Efficiency
           
2012 National Science Foundation Phase I SBIR NM-1215280 SBIR Phase I: Analytical Modeling and Performance Prediction of Remanufactured Gearbox Components
           
2012 Department of Defense Phase I STTR N12A-T010 Developing and validating a model to understand mixed lubrication regions for fluid-film bearings
           
2012 Department of Defense Phase II SBIR A10-169 Fatigue Crack Initiation Prediction Tool for Rotorcraft Spiral Bevel Gears
           
2011 Department of Defense Phase I STTR N11A-T007 Modeling to Quantify Improved Durability of Superfinish Gear Processing
           
2011 Department of Defense Phase II SBIR N101-006 Prognostic & Health Management (PHM) Technologies for Unmanned Aerial Vehicles (UAV)Optimized PHM System for Unmanned Aerial Vehicles
           
2011 Department of Defense Phase II SBIR N093-170 Spline Health Prognosis via Physics Based Modeling Coupled with Component Level Tests
           
2010 Department of Defense Phase I SBIR A10-169 Fatigue Crack Initiation Prediction Tool for Rotorcraft Spiral Bevel Gears
           
2010 Department of Defense Phase II SBIR AF073-135 Vibration Analysis of Rotating Plant Machinery
           
2010 Department of Defense Phase II SBIR N091-017 Gearbox Load and Life Simulation Software
           
2010 Department of Defense Phase I SBIR N101-006 Prognostic & Health Management (PHM) Technologies for Unmanned Aerial Vehicles (UAV)Optimized PHM System for Unmanned Aerial Vehicles
           
2010 NASA Phase I SBIR A209 Enhanced Prediction of Gear Tooth Surface Fatigue Life
           
2010 Department of Defense Phase I SBIR N093-170 Spline Health Prognosis via Physics Based Modeling Coupled with Component Level Tests
           
2009 Department of Defense Phase I SBIR N091-017 Gearbox Load and Life Simulation Software
           
2008 Department of Defense Phase I SBIR N08-122 Advanced Intelligent Web-Based Options to Acquire and Analyze Aircraft Health and Test Data
           
2008 Department of Defense Phase I SBIR AF073-135 Vibration Analysis of Rotating Plant Machinery
           
2007 Department of Defense Phase II SBIR N06-023 Automated Reasoner Technology for Managing Military Aircraft
           
2007 Department of Defense Phase II SBIR AF06-094 High Performance Cage Sensors for Rolling Element Bearing Health Monitoring
           
2007 Department of Defense Phase II SBIR AF06171 Health Management for Gas Turbine Engine Accessory Components
           
2007 Department of Defense Phase II SBIR N05-094 Embedded Health Monitoring for Propulsion Control System Actuators
           
2007 NASA Phase II SBIR A104 Model Updating in Online Aircraft Prognosis Systems
           
2006 Department of Defense Phase I SBIR N06-108 Cognitive Technology for Advanced Maintenance
           
2006 Department of Defense Phase I STTR N06-T007 Aircraft Electrical Power System Diagnostics and Health Management
           
2006 NASA Phase I SBIR 05-II A1.04 Model Updating and Uncertainty Management for Aircraft Prognostic Systems
           
2006 Department of Defense Phase I SBIR AF06-094 High Performance Cage Sensors for Rolling Element Bearing Health Monitoring
           
2006 Department of Defense Phase I SBIR N06-023 Automated Reasoner Technology for Managing Military Aircraft
           
2006 Department of Defense Phase I SBIR AF06-171 Health Management for Gas Turbine Engine Accessory Components
           
2006 NASA Phase I SBIR A104 Model Updating in Online Aircraft Prognosis Systems
           
2005 Department of Defense Phase II SBIR A04-077 Prognostic Wear Prediction Tool for BlackHawk Hanger Bearings
           
2005 Department of Defense Phase I SBIR N05-104 Effective Diagnostics for Dynamic Operating Environments
           
2005 Department of Defense Phase I SBIR N05-089 Innovative Materials/Concepts for Grease Lubricated Bearings
           
2005 Department of Defense Phase II STTR MDA04-T022 Strategic Monitoring of Spacecraft Mechanical Parts Assemblies
           
2005 Department of Defense Phase I SBIR N05-094 Embedded Health Monitoring for Propulsion Control System Actuators
           
2005 Department of Defense Phase II SBIR N04-028 Validation Tools and Data for PHM Technologies
           
2005 Department of Defense Phase I SBIR AF05-188 Methodology for the Real-Time Management of Aero Gas Turbine Engine Usage Data
           
2005 Department of Defense Phase I SBIR A04-077 Prognostic Wear Prediction Tool for BlackHawk Hanger Bearings
           
2004 Department of Defense Phase I STTR MDA04-T022 Strategic Monitoring of Spacecraft Mechanical Parts Assemblies
           
2004 Department of Defense Phase I SBIR N04-028 Validation Tools and Data for PHM Technologies
           
2004 Department of Defense Phase II SBIR N02-195 Fault-to-Failure Progression Modeling of Propulsion System and Drive Train Bearings for Prognostic and Useful Performance Life Remaining Predictions
           
2002 Department of Defense Phase I SBIR   Fault-to-Failure Progression Modeling of Propulsion System and Drive Train Bearings for Prognostic and Useful Performance Life Remaining Predictions
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  • “Under current paradigm, every system is so unique that going through the qualification process is costly. Computational testing holds promise to reduce the costs, but there are still any uncertainties. Eventually, we’ll get there”

    Bradley Miller, Aviation Development Directorate

  • “We’re trying to help make better helicopters for the general public, and in the helicopter world, gears are very important. When the DigitalClone results came in, and the correlation was so good, the company president got very excited about what his guys had been developing.”

    Tim Krantz, Glenn Research Center

  • “Sentient Science is a prime example of businesses that drives Governor Cuomo’s vision for redevelopment in Western New York and we congratulate them on this global acknowledgement”

    Kathy Hochul, Lt. Governor of New York State

  • “It is the innovative entrepreneurs and high growth businesses like Sentient Science who help power our economy and more it forward by creating new jobs and making out industries globally competitive.”

    Maria Contreas-Sweet, SBA Administrator